Youngsoo Kim
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 10
- Molecular Biology top 5%
- RNA modifications and cancer 11
- RNA Research and Splicing 6
- Ubiquitin and proteasome pathways 3
- RNA and protein synthesis mechanisms 3
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 4
- Hepatology top 10%
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- Multiple Myeloma Research and Treatments 3
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- Mesenchymal stem cell research 3
- Co-authors
- A. Robert MacLeodDavid L. SpectorGayatri ArunJeff HsuGene HungMoritz F. EissmannAlexey S. RevenkoMatthias Groß
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Youngsoo Kim
37 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Cancer Research 1.9k
- Molecular Biology 2.4k
- Oncology 314
- Hepatology 73
- Immunology 183
Countries citing papers authored by Youngsoo Kim
This map shows the geographic impact of Youngsoo Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Youngsoo Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngsoo Kim more than expected).
Fields of papers citing papers by Youngsoo Kim
This network shows the impact of papers produced by Youngsoo Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Youngsoo Kim. The network helps show where Youngsoo Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Youngsoo Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 38 | |
| 2 | 2021 | 8 | |
| 3 | 2020 | 17 | |
| 4 | 2020 | 9 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 49 | |
| 7 | 2017 | 3 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 16 | |
| 10 | 2015 | 105 | |
| 11 | The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cellsbreakdown → | 2012 | 1307 |
| 12 | 2012 | 63 | |
| 13 | A Case of Digital Gangrene Complicated by Atypical Hemolytic Uremic Syndrome in a Patient with Systemic Lupus Erythematosus | 2010 | 2 |
| 14 | 2010 | 76 | |
| 15 | 2007 | 91 | |
| 16 | 2007 | 6 | |
| 17 | 2006 | 118 | |
| 18 | 2005 | 55 | |
| 19 | 2005 | 12 | |
| 20 | Construction of Metallothionein-I Promoter Inserted Human Blood Coagulation Factor VIII Expression Vector and the Induction of Factor VIII Protein Synthesis in Mouse | 1995 | 1 |
About Youngsoo Kim
Youngsoo Kim is a scholar working on Cancer Research, Hematology and Aging, having authored 38 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Multiple Myeloma Research and Treatments (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA and protein synthesis mechanisms (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (2.4k citations) and Oncology (314 citations). Youngsoo Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include A. Robert MacLeod, David L. Spector, Gayatri Arun, Jeff Hsu, Gene Hung, Moritz F. Eissmann, Alexey S. Revenko, Matthias Groß, Martin Zörnig and Tony Gutschner. Their work appears in journals such as Nature Communications, Genes & Development and Blood.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.